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The process of generating AI through machine learning involves creating a system that can make its own decisions and predictions. This is achieved by using machine learning to generate thousands of decision-making units that are interconnected in a lattice. These lattices form a neural network, an information processing machine meant to simulate a brain. Global tech companies like Google and Tesla use similar methods. They employ advanced machine learning algorithms and neural networks to develop their AI technologies. Google, for instance, uses AI for its search engine, autonomous driving, and other services. Tesla uses AI for its autonomous driving technology. However, the specific algorithms and techniques used by these companies are proprietary and not publicly disclosed.
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How AI works is beyond the scope of this video, but here's a high-level crash course. To count as AI, a system needs to make its own decisions, and make its own predictions. Developers use machine learning to generate "artificial" intelligence, or thousands and thousands of decision-making units that are interconnected in a lattice that all work together to learn patterns. These lattices form a neural network, an information processing machine meant to simulate a brain, with interconnected networks of neurons that make different decisions and predictions based on different inputs.
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Learn about the latest AI tools available in business, like AI video generators, audio, video game creation, and autonomous vehicles, a brief summary ...
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